Advanced Data Analysis Techniques
D.14
Dep. of Physics, FCTUC
The workshop consists of student presentations of:
Scientific article reviews: up to 5 min followed by a discussion
Machine learning projects: 10 min followed by a discussion
Zoom link: https://videoconf-colibri.zoom.us/j/86059441123?pwd=RVZHOE9EVkZUNUZZR3lkcTc0T2RvZz09
course: Advanced Data Analysis Techniquesdegree/university: MEF/MF - UC, 1st semester 2021/2022
profs: R. Gonçalo, F. Veloso, M. Ferreira, R. Pedro, P. Brás, M. Romão, T.Cerqueira
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1
Automatic Feature Extraction for Heartbeat Anomaly Detection
https://arxiv.org/abs/2102.12289
Speaker: Beatriz Santos -
2
Automatic Segmentation and Classification of Heart Sounds Using Modified Empirical Wavelet Transform and Power Features
https://www.mdpi.com/2076-3417/10/14/4791
Speaker: Francisco Relvão -
3
Audio analysis: measuring heart rate and classifying heart soundsSpeakers: Beatriz Santos, Francisco Relvão
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4
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
https://arxiv.org/abs/1801.08322
Speaker: Sílvia Santos -
5
Heartbeat Sound Signal Classification Using Deep Learning
https://www.mdpi.com/1424-8220/19/21/4819
Speaker: Nicole Duarte -
6
Audio analysis: measuring heart rate and classifying heart soundsSpeakers: Nicole Duarte, Sílvia Santos
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7
Deep Learning for the Classification of Quenched Jets
https://arxiv.org/abs/2106.08869
Speaker: Gonçalo Gouveia -
8
Energy reconstruction in a liquid argon calorimeter cell using convolutional neural networks
https://arxiv.org/abs/2109.05124
Speaker: António Caramelo -
9
Machine Learning for detector design, modelling the TileCal degradation history as a use caseSpeakers: António Caramelo, Gonçalo Gouveia
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10
On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters
https://arxiv.org/abs/2107.10207
Speaker: Hugo Costa -
11
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
https://arxiv.org/abs/1912.06794
Speaker: Seomara Felix -
12
Machine Learning for detector design, modelling the TileCal degradation history as a use caseSpeakers: Hugo Costa, Seomara Felix
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10:50
Coffee break
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13
Compressing physics with an autoencoder: Creating an atomic species representation to improve machine learning models in the chemical sciences
https://indico.lip.pt/event/1187/manage/timetable/#20220204
Speaker: Bernardo Martins -
14
Machine learning modeling of superconducting critical temperature
https://www.nature.com/articles/s41524-018-0085-8
Speaker: Gonçalo Dias -
15
Machine Learning in Material ScienceSpeaker: Bernardo Martins
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16
Machine Learning in Material ScienceSpeaker: Gonçalo Martins
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17
Nuclear matter properties: Supervised Machine Learning ApproachSpeaker: Valéria Carvalho
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18
Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders
https://arxiv.org/abs/2006.05432
Speaker: Patricia Ferreira - 19
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20
The SAMME.C2 algorithm for severely imbalanced multi-class classification
https://arxiv.org/abs/2112.14868
Speaker: João Silva -
21
Random decision forests
https://ieeexplore.ieee.org/document/598994
Speaker: Jorge Silva -
22
Classification of pulses in the LUX-ZEPLIN dark matter detectorSpeakers: Jorge Silva, João Silva
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23
Classification of pulses in the LUX-ZEPLIN dark matter detectorSpeakers: Helena Lessa, Patricia Pesch
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